Multi-objective genetic algorithms: a way to improve the convergence rate (2006)
Source: Engineering Applications of Artificial Intelligence. Unidade: EP
Subjects: ALGORITMOS GENÉTICOS, PARETO OTIMALIDADE
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AUGUSTO, Oscar Brito et al. Multi-objective genetic algorithms: a way to improve the convergence rate. Engineering Applications of Artificial Intelligence, v. 19, p. 501-510, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2006.01.010. Acesso em: 17 maio 2024.APA
Augusto, O. B., Rabeau, S., Dépincé,, & Bennis, F. (2006). Multi-objective genetic algorithms: a way to improve the convergence rate. Engineering Applications of Artificial Intelligence, 19, 501-510. doi:10.1016/j.engappai.2006.01.010NLM
Augusto OB, Rabeau S, Dépincé, Bennis F. Multi-objective genetic algorithms: a way to improve the convergence rate [Internet]. Engineering Applications of Artificial Intelligence. 2006 ;19 501-510.[citado 2024 maio 17 ] Available from: https://doi.org/10.1016/j.engappai.2006.01.010Vancouver
Augusto OB, Rabeau S, Dépincé, Bennis F. Multi-objective genetic algorithms: a way to improve the convergence rate [Internet]. Engineering Applications of Artificial Intelligence. 2006 ;19 501-510.[citado 2024 maio 17 ] Available from: https://doi.org/10.1016/j.engappai.2006.01.010
